Sound envelope encoding in the auditory cortex revealed by neuromagnetic responses in the theta to gamma frequency bands

被引:19
作者
Miyazaki, Takahiro [1 ]
Thompson, Jessica [1 ]
Fujioka, Takako [1 ]
Ross, Bernhard [1 ,2 ]
机构
[1] Baycrest Ctr Geriatr Care, Rotman Res Inst, Toronto, ON M6A 2E1, Canada
[2] Univ Toronto, Dept Med Biophys, Toronto, ON M5G 2M9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Auditory evoked response; Mapetoencephalography; Gamma-band oscillation; Loudness fluctuation; Acoustical flutter; Roughness; STEADY-STATE RESPONSES; MIDDLE LATENCY RESPONSES; 40; HZ; EVOKED-POTENTIALS; RISE TIME; REPRESENTATION; AMPLITUDE; SPEECH; COMPONENTS; AUDIOLOGY;
D O I
10.1016/j.brainres.2013.01.047
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Amplitude fluctuations of natural sounds carry multiple types of information represented at different time scales, such as syllables and voice pitch in speech. However, it is not well understood how such amplitude fluctuations at different time scales are processed in the brain. In the present study we investigated the effect of the stimulus rate on the cortical evoked responses using magnetoencephalography (MEG). We used a two-tone complex sound, whose envelope fluctuated at the difference frequency and induced an acoustic beat sensation. When the beat rate was continuously swept between 3 Hz and 60 Hz, auditory evoked response showed distinct transient waves at slow rates, while at fast rates continuous sinusoidal oscillations similar to the auditory steady-state response (ASSR) were observed. We further derived temporal modulation transfer functions (TMTF) from amplitudes of the transient responses and from the ASSR. The results identified two critical rates of 12.5 Hz and 25 Hz, at which consecutive transient responses overlapped with each other. These stimulus rates roughly corresponded to the rates at which the perceptual quality of the sound envelope is known to change. Low rates (> 10 Hz) are perceived as loudness fluctuation, medium rates as acoustical flutter, and rates above 25 Hz as roughness. We conclude that these results reflect cortical processes that integrate successive acoustic events at different time scales for extracting complex features of natural sound. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:64 / 75
页数:12
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